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The Different Ways Artificial Intelligence Development can Serve Healthcare Segment

By Hiten Dudhatra

Healthcare is a broad term. It generally connotes hospitals and medical treatments. However, in the periphery you have pharma companies as part of the healthcare segment, you have ambulance and support services and you have manufacturers of tools and equipments used in healthcare. Each segment makes use of IT in some way or other but with inclusion of artificial intelligence development, you will find a sea change in operations across segments within healthcare sector.

The individual

An individual, whether healthy or slightly ill or quite unwell, requires access to healthcare and health related information. AI development services, on their own, may launch AI-IoT powered apps that individuals can use to monitor status of health. An extension of this would be a similar app deployed by hospitals and doctors that will monitor patient’s health status and automatically issue alert to the patient and doctor should their condition reach a critical, flagged point. Artificial intelligence with machine learning and neural networks is better as early warning systems. This can lead to saving lives by providing timely intervention.

The doctor

There are literally hundreds of thousands of doctors in individual practice across the world. Their operations are mostly manual. A step up is to use IT powered systems to set up appointments automatically and send out reminders as well as carry out remote consultations. However, roping in AI development services leads to transformation in a variety of situations such as:

Letting doctors access patient records remotely with full security and share with other doctors;
Let AI powered solutions interpret X-rays, MRIs and ultrasound images for quicker and more accurate identification of problem areas.
Gain insight into patient’s condition and take anticipatory preventive measures to safeguard patient health.

Hospitals

Managing large hospitals is a challenge that very few meet with absolute success. Incorporating artificial intelligence development can be a game changer not only on the administrative side but, more importantly, in patient handling side.

Hospitals typically make use of expensive and sophisticated diagnostic equipments. Some are “dumb” such as X-ray machines, blood testing machines, MRIs and ultrasound equipments. They simply spew out results or images. A hospital may process hundreds of patients in a couple of hours but it will be left to one doctor to examine such images or tests and diagnose condition. Delay is to be expected. Let AI development services develop a system to allow for automated and intelligent diagnoses of test reports. The result is transformational.

Almost on the spot diagnosis. This helps in faster treatment plan and possible saving of lives in critical conditions.
Reduced burden on doctors who must visually check reports and images. They can use their skills for treatment.
Patient wait times reduced.

Since ML invariably goes into AI based system development it is found that as the solution grows older it becomes smarter through learning from accumulated data. Diagnosis becomes even more accurate with AI based systems even able to detect what a doctor would miss. The system extends further by:

Letting AI based solutions offer standard therapeutic treatment suggestions, gather data of outcome and learn from it as well as let doctors learn and keep track.
Let data from drug therapies be collected and analyzed as well as fed to pharma industries.

Pharma industry

New molecule or drug formulation development is a time-consuming and expensive process. With AI in the healthcare segment there are positive probabilities. Data collects at several points such as from doctor-patient interaction and from hospitals. However, sharing data raises security concerns. In such scenarios, data can be anonymized and shared with pharma industries that can then benefit from such inputs and also use AI in their new drug development programs. Here again Artificial Intelligence development services play a crucial role in assisting pharma industry with research and development.

Field personnel

Paramedics are regularly required to visit site of accidents or be on call to ferry critical patients to hospitals. However, there is a time lag and this time lag proves deathly. Again, artificial intelligence inclusion in apps could help paramedics take remedial action in case of accidents or giving at home aid prior to transferring to a hospital facility.

Governments, insurance and citizens

Governments are, in a way, directly involved in healthcare for citizens and it is in their capacity to set up AI powered systems to monitor general health, detect anomalies in local conditions where pollutants, water quality or air quality significantly impacts local residents’ health. Insurance companies, like government, are indirectly connected to healthcare since they issue mediclaim policies in which there can be frauds leading to losses. AI can certainly help detect such frauds but, importantly, it can predict health pattern changes and help them shape policy terms for customer benefit and to maximize revenues.

AI, as they say, is everywhere and since healthcare is so vital, the sooner the segment adopts AI into its operations, the more benefits they will gain besides rendering improved quality of services that translate to more revenues.

Author Bio:

Hiten Dudhatra is a Team Lead - Digital Marketing at Ecosmob Technologies Pvt. Ltd. He likes to share his opinions on IT & Telecommunication industries via contributed articles. His main interest to write the content for Machine Learning Development Services & Artificial Intelligence. @hitendudhatra